Brevo automated go-to-market workflows with Dust & Supabase: 80% faster email personalization, zero engineering tickets
Brevo's sales reps spent 30+ minutes per prospect manually researching across fragmented systems, while 30%+ of RevOps requests required manual human responses despite being answerable from existing documentation. AI agents had no access to CRM data, and finding relevant customer references for sales calls relied entirely on tribal knowledge.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · BDR selects contacts in CRM
BDRs select contacts to prospect in their CRM, which triggers a Dust conversation.
Tools used
DustSupabaseMCP
Outcome
Brevo achieved an 80% time reduction on email personalization, automated 30%+ of internal support requests through self-serve AI agents, and executed 2,500+ production actions through Supabase-connected agents without writing engineering tickets.
What failed first
Existing AI agents had no access to the CRM, and alternative data platforms like BigQuery and Snowflake were designed for analytics rather than real-time agent read/write operations.